Model comparison
Gemma 3n E4b IT vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 770× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.8 to 19.2.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 3n E4b IT | GPT-5.2 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 36.7 | 52.2 |
| Released | 2025-05-20 | 2025-12-11 |
| Weights | Open | Proprietary |
| Context window | 33K | 400K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.06 | $21 |
| Output $ / M tokens | $0.12 | $168 |
| Results tracked | 18 | 8 |
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Category by category
Coding Not comparable
Gemma 3n E4b IT: 36.4 (#193), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Coding | 1269 | — |
Reasoning GPT-5.2 Pro leads
Gemma 3n E4b IT: 19.2 (#239), GPT-5.2 Pro: 51.8 (#31)
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 31.5% | — |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| LMArena Hard Prompts | 1284 | — |
| Epoch Capabilities Index | — | 155.41 |
Math GPT-5.2 Pro leads
Gemma 3n E4b IT: 32.5 (#186), GPT-5.2 Pro: 64.8 (#23)
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| LMArena Math | 1251 | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
Gemma 3n E4b IT: 33.6 (#193), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Expert | 1245 | — |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1310 | — |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.3 (#205), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.8 (#185), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1277 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.3 (#181), GPT-5.2 Pro: —
| Benchmark | Gemma 3n E4b IT | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 770× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemma 3n E4b IT or GPT-5.2 Pro?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 33K.
How many benchmarks do Gemma 3n E4b IT and GPT-5.2 Pro share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-5.2 Pro has 8.